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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16351\nThe data architectu
 re landscape is filled with buzzwords and competing vendor claims, each pro
 mising to be the ultimate solution. Most of what is promoted as architectur
 e blurs the lines between patterns, technologies, implementation, and fads.
  There are more choices than the data warehouse vs lakehouse question, or t
 he central vs distributed decision. In reality, organizations rely on multi
 ple patterns that exist in a data ecosystem.\n\nThis course focuses on unde
 rstanding patterns—the fundamental building blocks of modern data arc
 hitectures. Through a brief history of data systems from recent decades, we
  will clarify and categorize the most common architectural patterns. We&#39
 ;ll discuss their strengths, limitations, and why multiple patterns exist.\
 n\nParticipants will gain a solid understanding of the real-world implicati
 ons of various data architecture system patterns, from basic data collectio
 n to embedded machine learning. We’ll explore how these patterns
  influence technology choices and team structures, helping you to better de
 termine what to change and make informed decisions about what to build.\n\n
 By the end of this workshop, students will have a clear understanding of th
 e various architectural patterns used in modern data platforms, how to matc
 h them to specific business needs, and how to recognize the strengths and l
 imitations of each.
DTSTART:20260504T134500
SUMMARY:T10: Understanding and Using Data Architecture Patterns
DTEND:20260504T165959
LOCATION: See Description
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